



from __future__ import annotations

lowerCamelCase__      =			10

def 	lowerCAmelCase__    (				_SCREAMING_SNAKE_CASE							:      list[int]     ):
				"""simple docstring"""







				__a	  =		1
				__a	  =		max(_SCREAMING_SNAKE_CASE     )
				while placement <= max_digit:
								# declare and initialize empty buckets
								__a	  =		[[] for _ in range(_SCREAMING_SNAKE_CASE     )]
								# split list_of_ints between the buckets
								for i in list_of_ints:
												__a	  =		int((i / placement) % RADIX     )
												buckets[tmp].append(_SCREAMING_SNAKE_CASE     )
								# put each buckets' contents into list_of_ints
								__a	  =		0
								for b in range(_SCREAMING_SNAKE_CASE     ):
												for i in buckets[b]:
																__a	  =		i
																a += 1
        # move to next
								placement *= RADIX
				return list_of_ints


if __name__ == "__main__":
						import doctest

						doctest.testmod()





'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowerCAmelCase_  :							Dict             =    {
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase_  :							List[Any]             =    [
							    'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'EncodecModel',
							    'EncodecPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_encodec import (
							    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    EncodecConfig,
							)
							from .feature_extraction_encodec import EncodecFeatureExtractor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_encodec import (
														    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
														    EncodecModel,
														    EncodecPreTrainedModel,
														)

else:
							import sys

							lowerCAmelCase_  :							List[str]             =    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




